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OALib Journal期刊
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Ontoloy Relationship Extraction Research Based on HowNet and Term Relevancy Degree
基于知网和术语相关度的本体关系抽取研究*

Keywords: Relationship extraction Ontology learning HowNet NLP
关系抽取
,本体学习,知网,自然语言处理

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Abstract:

The paper proposes a relationship extraction method based on HowNet and term relevancy degree.Firstly syntax parsing tools are used to extract context feature of terms,and natural language feature and statistical mutual information measure are integrated to compute relevancy degree of terms,then dynamic role and sememe are used as key to seek the relationship in HowNet semantic relationship framework,and explicit semantic lable is designated to the relationship.Experimental results show that the approach is effective.

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